STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Open Source Developments

Facial Emotion Recognition Using CNN and OpenCV: A Review

  1. Reena Sharma
  2. Manasvi Joshi
  3. Aditya Gupta
  4. Tanay Joshi
  5. Indu Mittal

Abstract

Emotion Recognition Using a Facial Feature Recognition is a prominent area of study in the world of Human Computer Interaction (HCI). Humans may express a wide range of emotions and moods through facial movements and body language. In this project, in order to detect the live emotions from the human facial gesture, we will be using an algorithm that allows the computer to automatically detect the facial recognition of human emotions with the help of Convolution Neural Network (CNN) and OpenCV. Finally, emotion detection involves the integration of data from multiple patterns. If computers can comprehend more human emotions, the gap between humans and computers will be reduced. In this research work, we will show how to read a person's frontal facial expression to accurately identify emotions including neutral, happy, sad, surprised, furious, fear, and disgust.

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